I am a senior researcher in the Sensors and Devices Group at Microsoft Research in Cambridge, UK. I joined Microsoft in 2007, having worked at Intel Research from 2003 to 2006. I received my PhD from the University of Cambridge in 2002.
My research interests include many aspects of ubiquitous and pervasive computing such as new sensors and devices, mobile interaction, wireless and mobile networking, energy management, rapid prototyping, the internet of things, and security and privacy.
Much of my work has been published, with over 50 peer-reviewed academic papers. I have also filed over 60 patents. I was honoured to receive the ACM SIGMOBILE Test of Time award in 2016. I have served as the steering committee chair of ACM UbiComp, as well as on program committees for UbiComp, Pervasive, MobiSys and CHI, and as an editorial board member for IEEE Pervasive Computing, and I am a founding editor of the journal PACM IMWUT.
Contact me at firstname.lastname@example.org.
Interns/Post Docs Supervised
At Intel Research
Boris Dragovic, 2003
Tim Sohn, 2004
Henoc Agbota, 2005
Eben Upton, 2006
Meng How Lim, 2006
Jing Su, 2006
At Microsoft Research
Ignas Budvytis, 2007 (with Alex Butler)
Adin Scannell, 2008
Gabriela Marcu, 2008
Ionut Constandache, 2010
Carl Ellis, 2011
Katie Derthick, 2012
Jan Kučera, 2013
Juhi Ranjan, 2013
Moody Alam, 2013-14Sergey Antonovich, 2014 (with SenDev team)
Thomas Kubitza, 2014 (with SenDev team)
Refael Whyte, 2014 (with SenDev team)
Thomas Denney, 2012-2015 (with SenDev team)
Josh Fromm, 2015 (with SenDev team)
Pascal Knierim, 2015 (with SenDev team)
Gavin Wood, 2015 (with SenDev team)
Hanchuan Li, 2016 (with Tobias Grosse-Puppendahl)
Jan Kučera, PhD student, 2015-2018
Excluding reviews, workshop committee and organising committee roles
Editor, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (PACM IMWUT) – submission deadlines every 15 Nov, Feb, May, Aug
Program Committee member, UbiComp 2015 (and 2009, 2012-13)
Program Committee member, MobiSys 2015 (and 2007, 2011)
Expert panel member, UK Govt Chief Scientific Advisor review of Internet of Things, 2014
Editorial board member, IEEE Pervasive Computing, 2014-
Program Committee chair, UbiComp 2014
Associate Chair, CHI 2014
Organiser, UbiComp 2013 HomeSys workshop
Steering Committee chair, UbiComp and Pervasive conference series, 2011-2013
Program Committee member, HotMobile 2013
Program Committee member, Pervasive 2011 (and 2007-2010)
Steering Committee chair, UbiComp conference series, 2009-2011
Program Committee member, LoCA 2009
Program Committee member, PerCom 2009
Program Committee member, CCNC 2009
Program Committee member, EuroSSC 2008
Program Committee chair, UbiComp 2008
Program Committee member, Internet of Things Conference 2008
Steering Committee member, Challenged Networks workshop series
Program Committee member, MASS 2007
Program Committee member, Mobiquitous 2007
Organiser, 2003 Workshop on Location-Aware Computing
Platypus – Indoor Localization and Identification through Sensing Electric Potential Changes in Human BodiesTobias Grosse-Puppendahl, Christian Hatzfeld, Biying Fu, Mario Kupnik, Arjan Kuijper, Matthias Hastall, James Scott, Marco Gruteser, in 2016, ACM, June 9, 2016,
Matchstick: A Room-to-Room Thermal Model for Predicting Indoor Temperature from Wireless Sensor DataCarl Ellis, Mike Hazas, James Scott, in Proceedings of IPSN 2013, ACM, April 1, 2013,
Exploring End User Preferences for Location Obfuscation, Location-Based Services, and the Value of LocationA.J. Brush, John Krumm, James Scott, in Proceedings of UbiComp 2010, Association for Computing Machinery, Inc., September 1, 2010,
Control, Deception, and Communication: Evaluating the Deployment of a Location-Enhanced Messaging ServiceG. Iachello, I. Smith, S. Consolvo, G.D. Abowd, J. Hughes, J. Howard, F. Potter, James Scott, T. Sohn, J. Hightower, A. LaMarca, in Proceedings of the Fifth International Conference on Ubiquitous Computing (UbiComp 2005), Springer Verlag, September 1, 2005,
Lab of Things
Lab of Things is a research platform making it easy to deploy experimental user studies in people’s homes. This is built on top of the HomeOS framework, and can incorporate devices built with .NET Gadgeteer.
Microsoft .NET Gadgeteer is a platform for rapid prototyping which also has potential in tertiary and secondary education and for hobbyists. By supporting quick and high-level construction and iteration of the hardware, software and physical form factor aspects of a new device, Gadgeteer aims to make prototyping easy, fast and enjoyable.
Mobile Device Interaction
I am interested in the area of mobile device interaction. In particular I am looking at new ways for users to provide input for mobile device scenarios where using keyboards/mice are not feasible, such as by sensing physical forces that users can apply to device casings by using the rear of devices for text entry, and using smartphones to extend physical appliance UIs.
I am also interested in energy efficiency in a broad sense, from reducing the energy needs of computers, particularly those with limited battery resources, to using technology to help reduce our need for energy e.g. by more efficiently heating homes.
PreHeat is a prototype home heating system (deployed in my house!) which uses room-level occupancy sensors to adaptively control heating in each room to minimise energy use while maintaining comfort. Thermal imaging can also be used to infer the most comfortable air temperature for occupants.
Somniloquy is a system which allows computers to “talk in their sleep” and thereby removes the need for users to leave their computers on while they are absent, either for remote access or to leave background applications running.
CABMAN is an architecture allowing mobile devices to monitor their battery level in a more context-aware fashion, thus not bothering the user at inappropriate times, and maintaining better notions of when energy is scarce or abundant.
SenseCam and Privacy
With the SenseCam wearable camera, I have done some work including thinking about what sensors are best for triggering picture taking, and, on the other side of the coin, in looking at the privacy implications of always-on logging. I have also studied privacy in areas such as location traces and for sharing between coworkers.
The Haggle project explored networking for mobile users using both local peer-to-peer wireless connections as well as infrastructure-based Internet access when available. For example, an email could be transferred by peer-to-peer networking if the recipient is nearby, but today’s software and network architecture do not facilitate this.
In Haggle we created a software architecture for mobile devices which seamlessly makes use of both opportunistic peer-to-peer and infrastructure-based networking to meet the data transfer requirements of applications, while also respecting the limited resources of mobile devices.
Secure Mobile Computing
In the secure mobile computing project we looked at how people can make use of public hardware (e.g. internet cafes, situated displays, etc) without exposing themselves to security threats in the form of keylogging, screengrabbing, remote session hijacking, etc. This is achieved using a personal device (e.g. a smart phone) in combination to the public device, where the personal device runs all the user’s applications and censors the output to and input from public devices. The system aims to capture the privacy and trustability of the personal device with the usability of the large input/output hardware of situated devices.
Place Lab enabled low-cost, easy-to-use device positioning for location-enhanced computing applications. Clients determined their location privately without constant interaction with a central service, by listening for radio beacons such as 802.11 access points, GSM cell phone towers, and fixed Bluetooth devices that already exist in large numbers around us in the environment.
The audio location project looked at the use of commodity audio hardware to perform fine-grained location of people in the environment. Unlike other fine-grained location systems, we used completely off-the-shelf audio hardware. Furthermore, no “tag” device is required for users.
The system operates by detecting sharp noises such as finger clicks, and determining the 3D position of the clicks using a multilateration algorithm. This can be used to construct 3D user interfaces, whereby a person clicking their fingers in a particular region of space might cause actions such as activating a light switch, or controlling a music player.
My PhD, conducted at the (now renamed) Laboratory for Communication Engineering at the University of Cambridge, was on a radical concept in local area networking known as Networked Surfaces. This network used physical surfaces such as tables or desks to provide connectivity, allowing users to enjoy the convenience and user-friendliness of wireless networking, while also providing the dedicated bandwidth and powering of devices possible with wired networks.
Unlike with cradles, objects could be placed anywhere on a Networked Surface rather than only at a specific location, and the location of objects could be determined to within centimetres, enabling applications such as automatic and dynamic association of devices based on positioning.